Deep Learning-Based Bearing Fault Detection Using 2-D Illustration of Time Sequence-Reference-Cited by-同舟云学术

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Deep Learning-Based Bearing Fault Detection Using 2-D Illustration of Time Sequence

Published:2020-10-21 Issue: Volume: Page:
ISSN:
Container-title:2020 International Conference on Information and Communication Technology Convergence (ICTC)
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Author:

Neupane Dhiraj,Seok Jongwon

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9289075/9289076/09289232.pdf?arnumber=9289232

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Shine: A deep learning-based accessible parking management system;Expert Systems with Applications;2024-03

2. Multichannel 1D-CNN and Hilbert Transform Based Bearing Fault Classification;2023 2nd International Conference on Electronics, Energy and Measurement (IC2EM);2023-11-28

3. Multi-Fault Detection of Bearing in Water Pump using Two-Dimensional Convolutional Neural Network;2023 IEEE Industrial Electronics and Applications Conference (IEACon);2023-11-06

4. Improvement of Generative Adversarial Network and Its Application in Bearing Fault Diagnosis: A Review;Lubricants;2023-02-10

5. Classification of Distributed Bearing Faults using a Novel Sensory Board and Deep Learning Networks with Hybrid Inputs;IEEE Transactions on Energy Conversion;2023

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